(19) #266 I-79 (3-15)

315.46 (105)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
196 Petey's Scallywags Loss 8-13 -7.79 109 6.57% Counts Jul 20th Bourbon Bash 2019
182 Rocket LawnChair Loss 4-15 -10.24 65 6.57% Counts (Why) Jul 20th Bourbon Bash 2019
217 Pi+ Loss 9-11 3.54 77 6.57% Counts Jul 20th Bourbon Bash 2019
277 Indiana Pterodactyl Attack Win 13-8 28.39 44 6.57% Counts Jul 20th Bourbon Bash 2019
257 Derby City Thunder Loss 5-7 -14.67 56 5.22% Counts Jul 21st Bourbon Bash 2019
74 Trash Pandas** Loss 3-15 0 24 0% Ignored (Why) Jul 21st Bourbon Bash 2019
249 Second Wind Win 12-9 31.81 172 6.57% Counts Jul 21st Bourbon Bash 2019
270 Baltimore BENCH Win 9-7 21.9 59 7.87% Counts Aug 24th The Incident 2019 Age of Ultimatron
86 Eat Lightning** Loss 1-13 0 81 0% Ignored (Why) Aug 24th The Incident 2019 Age of Ultimatron
142 Philly Twist** Loss 5-13 0 104 0% Ignored (Why) Aug 24th The Incident 2019 Age of Ultimatron
115 Rat City** Loss 5-13 0 84 0% Ignored (Why) Aug 24th The Incident 2019 Age of Ultimatron
247 Pandatime Loss 7-11 -30.44 215 8.34% Counts Aug 25th The Incident 2019 Age of Ultimatron
180 Varsity Loss 2-13 -13.38 103 8.57% Counts (Why) Aug 25th The Incident 2019 Age of Ultimatron
194 Nautilus Loss 4-13 -19.88 74 8.57% Counts (Why) Aug 25th The Incident 2019 Age of Ultimatron
25 Alloy** Loss 2-13 0 4 0% Ignored (Why) Sep 7th Founders Mixed Club Sectional Championship 2019
112 Stoke Loss 6-13 20.88 154 9.54% Counts (Why) Sep 7th Founders Mixed Club Sectional Championship 2019
140 Crucible Loss 7-14 8.97 6 9.54% Counts Sep 8th Founders Mixed Club Sectional Championship 2019
200 Left Turn Lane Loss 8-15 -19.54 9.54% Counts Sep 8th Founders Mixed Club Sectional Championship 2019
**Blowout Eligible. Learn more about how this works here.

FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.